NoSQL Market Size, Trends, Share & Industry Forecast 2025

Name: NoSQL Market Size, Trends, Share & Industry Forecast 2025 - 2030
Creator: Mordor Intelligence
License: https://www.mordorintelligence.com/privacy-policy

NoSQL Market Size and Share

Market Overview

Study Period	2019 - 2030
Market Size (2025)	USD 15.04 Billion
Market Size (2030)	USD 55.51 Billion
Growth Rate (2025 - 2030)	29.85% CAGR
Fastest Growing Market	Asia Pacific
Largest Market	North America
Market Concentration	Medium
Major Players *Disclaimer: Major Players sorted in no particular order Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

NoSQL Market (2025 - 2030) — Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

NoSQL Market Analysis by Mordor Intelligence

The global NoSQL market is valued at USD 15.04 billion in 2025 and is forecast to expand to USD 55.51 billion by 2030, registering a robust 29.85% CAGR. Accelerated enterprise reliance on flexible data models, the rise of cloud-native microservices, and generative-AI workloads underpin this expansion. Unstructured data already constitutes 93% of enterprise information assets, and its rapid growth is amplifying demand for schema-less databases. Key-value stores continue to anchor the NoSQL market thanks to sub-millisecond response times, while vector search integration is redefining competitive differentiation. Consolidation—highlighted by IBM’s 2025 agreement to acquire DataStax—signals heightened strategic interest as vendors race to bundle operational, analytical, and AI capabilities within one environment. Simultaneously, data-sovereignty regulations and cloud-cost controls are spurring interest in hybrid deployments that straddle public clouds and private infrastructure.

Key Report Takeaways

By database type, key-value stores led with 38.40% of NoSQL market share in 2024, while graph databases are projected to grow at 29.40% CAGR through 2030.
By deployment mode, cloud implementations held 66.00% revenue share in 2024; hybrid configurations are forecast to record the highest CAGR at 27.50% during 2025-2030.
By application, data storage & caching accounted for 34.00% of the NoSQL market size in 2024; AI & ML workloads are advancing at 28.60% CAGR to 2030.
By end-user industry, retail & e-commerce contributed 27.00% of 2024 revenue, whereas healthcare & life sciences is set to expand at a 26.00% CAGR.
By enterprise size, large enterprises commanded 62.00% share of the NoSQL market size in 2024, but SMEs exhibit a 25.00% CAGR outlook.
By geography, North America retained 45.00% share in 2024; Asia-Pacific is the fastest-growing geography with a 27.50% CAGR through 2030

Global NoSQL Market Trends and Insights

Drivers Impact Analysis

Driver	(~) % Impact on CAGR Forecast	Geographic Relevance	Impact Timeline
Rapid adoption of big-data analytics	+10.4%	Global, stronger in North America and Europe	Medium term (2-4 years)
Demand for real-time data processing	+8.4%	Global, emphasis on high e-commerce and financial hubs	Short term (≤ 2 years)
Shift toward cloud-native microservices	+6.6%	North America, Europe, advanced Asia-Pacific	Medium term (2-4 years)
Proliferation of IoT device data	+5.4%	Global, industrial hubs and smart-city programs	Long term (≥ 4 years)
Vector-search and GenAI embedding integration	+4.5%	North America, spreading to Europe and Asia-Pacific	Short term (≤ 2 years)
Data-sovereignty-driven distributed NoSQL	+3.6%	Europe, China, India, Middle East	Medium term (2-4 years)
Source: Mordor Intelligence

Rapid adoption of big-data analytics

Organizations increasingly deploy NoSQL databases to ingest and analyze multi-modal datasets in one repository, avoiding costly ETL cycles. Retailers and banks use flexible document models to trace evolving customer behavior, enabling granular segmentation and dynamic pricing strategies. In parallel, vertical-optimized NoSQL variants—such as healthcare-focused document stores—have appeared to streamline regulatory reporting. MongoDB’s acquisition of Voyage AI underscores the pivot toward embedding-rich analytics for higher query relevance, accelerating the appeal of multi-model ecosystems^{[2]MongoDB, “Embedding Generative AI and Advanced Search,” mongodb.com}.

Demand for real-time data processing

Sub-second decision-making in fraud detection, ad bidding, and inventory refresh is steering enterprises toward key-value and in-memory engines able to maintain throughput at web scale. Redis 8.0’s vector search allows semantic ranking and content similarity within microseconds, shrinking the gap between operational and analytical workloads. Consequently, firms consolidate OLTP and OLAP functions to cut infrastructure sprawl and licensing fees, boosting the NoSQL market across both cloud and edge footprints.

Shift toward cloud-native microservices architectures

Decoupled application stacks favor databases that scale horizontally without global downtime. Enterprises now treat the NoSQL market as core infrastructure rather than tactical add-ons, with 48% of IT leaders prioritizing hybrid cloud rollouts that keep latency-sensitive data local while bursting to public clouds for seasonal demand^{[1]Rackspace Technology, “2025 State of Cloud Report,” rackspace.com}. Multi-model platforms that handle documents, graphs, and vectors within one engine reduce DevOps complexity, exemplified by ArangoDB’s unified interface. The resulting agility helps teams push new features weekly instead of quarterly.

Proliferation of IoT device data

Industrial facilities generate terabytes of time-series readings each day, well beyond the ingest limits of legacy RDBMS. Wide-column stores such as Apache Cassandra sustain high-velocity writes and enable roll-ups for long-term trend analytics. Edge gateways now embed lightweight NoSQL nodes, processing sensor streams locally to comply with data-residency laws and trim WAN traffic. This decentralization is expanding the addressable NoSQL market into manufacturing, energy, and smart-city domains.

Restraint Impact Analysis

Restraint	(~) % Impact on CAGR Forecast	Geographic Relevance	Impact Timeline
Implementation and migration complexity	-5.4%	Global, legacy-heavy regions	Medium term (2-4 years)
Shortage of skilled NoSQL professionals	-4.5%	Global, acute in developing economies	Short term (≤ 2 years)
Cloud-cost optimization driving repatriation	-3.6%	North America and Europe	Medium term (2-4 years)
Open-source license model uncertainty	-3.0%	Global, enterprise deployments	Long term (≥ 4 years)
Source: Mordor Intelligence

Implementation and migration complexity

Enterprises entrenched in relational schemas face sizable refactoring when porting to NoSQL. Beyond data model redesign, teams must rebuild integrations, optimize indexing strategies, and retrain staff. Flexera’s 2025 survey found 21% of firms shifting certain workloads back on-premises after discovering cloud rewrites were cost-prohibitive. Tool vendors now offer automated schema translation and dual-write gateways, lowering risk but not eliminating it.

Shortage of skilled NoSQL professionals

Specialist know-how in Cassandra compaction tuning or graph traversal optimization remains scarce, inflating hiring costs and delaying deployments. University curricula lag industry demands, especially in emerging economies. Low-code layers such as DataStax Langflow abstract vector stores behind drag-and-drop interfaces, allowing smaller teams to launch AI features without deep internals knowledge, but the talent gap will persist into the medium term.

Segment Analysis

By Database Type: Graph Databases Revolutionize Relationship Analytics

Graph engines recorded the fastest 29.40% CAGR outlook as organizations mine intricate networks spanning customers, devices, and supply chains for hidden patterns. Key-value stores nevertheless held a 38.40% NoSQL market share in 2024, demonstrating enduring demand for predictable, low-latency reads in session caching and shopping-cart operations. The NoSQL market size for graph deployments is forecast to expand sharply as cybersecurity teams adopt pathfinding queries to surface abnormal access chains.

Feature convergence defines vendor roadmaps. Document databases embed graph operators; wide-column stores add time-series roll-ups; and multi-model platforms such as ArangoDB blend graphs, documents, and vectors under one query layer. This blurring of lines helps enterprises consolidate licensing spend and simplify data governance. In-memory variants like Redis augment vector search to sustain millisecond similarity queries, aligning with AI pipelines while continuing to power traditional cache layers.

Nosql Market — Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

By Deployment Mode: Cloud Dominance Drives Innovation

Cloud deployments delivered 66.00% of 2024 revenue, underscoring enterprise appetite for fully managed elasticity. Within this setting, the NoSQL market size for multi-region serverless options is growing fastest, aided by consumption-based pricing that aligns overhead with demand peaks. DynamoDB’s global tables bolster latency-sensitive apps needing cross-continent consistency, fueling deeper adoption among digital-native firms.

On-premises installations remain critical for sectors with strict sovereignty mandates or deterministic latency targets. Hybrid footprints marrying local nodes with cloud replicas are gaining currency, reflected in a 27.50% CAGR momentum. Solutions that abstract topology details behind a single control plane encourage workload portability, and MongoDB Atlas exemplifies this seamless deployment narrative by offering uniform APIs across public cloud zones and customer-managed clusters.

By Application: AI and ML Workloads Drive Future Growth

Data storage and caching led with 34.00% contribution in 2024, affirming the historic role of NoSQL databases as operational backbones for high-traffic websites. Coupling cached objects with persistence has trimmed engineering toil and reduced stale-data incidents. Simultaneously, AI & ML workloads deliver the steepest 28.60% CAGR, as vector-friendly indexes enable retrieval-augmented generation pipelines that merge embeddings and metadata within one store.

Real-time analytics continues to attract budget allocation, notably in online gaming and fintech, where sub-second queries are non-negotiable. Mobile and web apps leverage auto-sharded clusters to absorb unpredictable spikes. IoT telemetry management strengthens wide-column stores’ relevance, while content management systems exploit flexible document schemas to house images, videos, and textual metadata side by side.

By End-User Industry: Healthcare Accelerates Adoption

Retail and e-commerce retained 27.00% share, harnessing document models for product catalogues and customer profiles that evolve hourly during peak holiday campaigns. Fraud detection in BFSI rests on graph traversals that uncover anomalous payment chains faster than relational joins. The NoSQL market size for healthcare and life sciences is projected to surge at 26.00% CAGR as genomic datasets and imaging archives demand horizontally scalable object storage with HIPAA controls.

Manufacturers maturing into Industry 4.0 stream unremitting sensor feeds, using time-series functions to monitor equipment anomalies in near real time. Government agencies widen smart-city deployments, blending traffic flows, weather updates, and citizen feedback—a diverse payload tailor-made for schema-flexible stores. Each vertical now benchmarks database choices on AI readiness, pushing vendors to expose embedding APIs and secure fine-grained access models.

By Enterprise Size: SMEs Embrace NoSQL Flexibility

Large enterprises dominated with 62.00% revenue share in 2024, often deploying polyglot architectures that intertwine legacy RDBMS with multiple NoSQL engines. Their investment capacity accelerates experiments across graph, document, and vector modalities. However, SMEs represent the fastest-growing cohort at 25.00% CAGR, buoyed by serverless offerings that remove cluster-ops burdens and pay-as-you-grow billing.

No-code development suites integrating document or graph stores cut delivery timelines by up to 60% versus traditional stacks, enabling SMEs to iterate customer-facing features quickly. Stack Overflow’s 2024 survey showed MongoDB leading NoSQL mindshare among developers, suggesting accessible APIs and vibrant communities are vital levers in penetrating the SME segment.

Geography Analysis

North America held 45.00% of 2024 revenue, spearheaded by United States cloud hyperscalers that bundle multiple NoSQL services. Canada follows with healthcare and fintech pilots, while Mexico accelerates retail modernization. A mature venture ecosystem and aggressive GenAI experimentation sustain top-line spend, ensuring the region remains the anchor tenant of the NoSQL market.

Asia-Pacific is the fastest-expanding theatre at 27.50% CAGR as domestic clouds in China and India broaden managed offerings tuned to local compliance codes. Southeast Asian e-commerce giants build hyper-personalization engines atop document stores, while Japanese automotive manufacturers capture edge sensor data in wide-column clusters. Data-locality statutes spur interest in globally distributed clusters that can tether shards to national borders.

Europe commands significant stake, led by the United Kingdom, Germany, and France, where GDPR compliance drives adoption of fine-grained encryption and auditing features. Nordic telcos deploy graph analytics for fraud signaling, and Southern Europe applies document stores to tourism platforms. Meanwhile, GCC economies in the Middle East deploy distributed key-value grids to underpin smart-city command centers. Brazil anchors Latin American demand, combining graph and vector search to fight payment fraud; Argentina’s mobile-app start-ups lean on serverless document stores to scale internationally without standing up regional data centers.

Competitive Landscape

The NoSQL market features moderate concentration: the top five providers aggregate roughly 60% revenue, leaving white space for vertical specialists and open-source newcomers. IBM’s proposed DataStax acquisition underscores how foundational NoSQL capabilities have become to broader AI platforms, as integrated vector search and global distribution climb executive priority lists. MongoDB catalyzes feature velocity through Voyage AI, while Couchbase injects native vector indexes into Capella to remain competitive^{[3]DataStax, “Healthcare,” datastax.com}.

Niche disruptors carve out territory by simplifying developer workflows. Fauna promotes a serverless globally distributed architecture with strong consistency, sidestepping operational drudgery for SaaS builders. PingCAP’s TiDB straddles transactional and analytical boundaries, drawing interest from fintechs seeking single-stack architectures. Strategic alliances, such as RavenDB’s pact with QBS Software to widen European reach, highlight regional go-to-market maneuvering.

Technology differentiation now orbits AI integration, multi-model breadth, and deployment optionality across hybrid footprints. Vendors providing unified control planes that govern on-premises clusters and multiple public clouds gain procurement preference among risk-averse multinationals. Subscription revenue dominates income statements; Couchbase’s USD 209.5 million FY 2025 top line reflects the shift toward cloud-delivered database-as-a-service bundles under multi-year contracts.

NoSQL Industry Leaders

Amazon Web Services, Inc.
Microsoft Corporation
Google LLC
MongoDB, Inc.
Couchbase, Inc.
*Disclaimer: Major Players sorted in no particular order

NoSQL Market Concentration — Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

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Recent Industry Developments

April 2025: Google Cloud enhanced its database lineup with native vector search and AI optimizations unveiled at Next 2025.
March 2025: RavenDB and QBS Software formed a partnership to expand NoSQL solutions across the UK and Europe.
February 2025: IBM agreed to acquire DataStax, integrating Astra DB with watsonx for unified AI-ready data access.
February 2025: Microsoft introduced NoSQL-style extensions to PostgreSQL, blending relational strengths with document and key-value patterns.

Table of Contents for NoSQL Industry Report

1. INTRODUCTION

1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

4.1 Market Overview
4.2 Market Drivers
- 4.2.1 Rapid adoption of big-data analytics
- 4.2.2 Demand for real-time data processing
- 4.2.3 Shift toward cloud-native micro-services architectures
- 4.2.4 Proliferation of IoT device data
- 4.2.5 Vector-search and GenAI embedding integration
- 4.2.6 Data-sovereignty-driven interest in globally distributed NoSQL
4.3 Market Restraints
- 4.3.1 Implementation and migration complexity
- 4.3.2 Shortage of skilled NoSQL professionals
- 4.3.3 Cloud-cost optimisation driving DB repatriation
- 4.3.4 Open-source licence model uncertainty
4.4 Evaluation of Critical Regulatory Framework
4.5 Technological Outlook
4.6 Porter's Five Forces
- 4.6.1 Bargaining Power of Suppliers
- 4.6.2 Bargaining Power of Buyers
- 4.6.3 Threat of New Entrants
- 4.6.4 Threat of Substitutes
- 4.6.5 Competitive Rivalry
4.7 Impact Assessment of Key Stakeholders
4.8 Key Use Cases and Case Studies
4.9 Impact on Macroeconomic Factors of the Market

5. MARKET SIZE AND GROWTH FORECAST (VALUE)

5.1 By Database Type
- 5.1.1 Document Store
- 5.1.2 Key-Value Store
- 5.1.3 Wide-Column Store
- 5.1.4 Graph Database
- 5.1.5 Multi-Model Database
- 5.1.6 In-Memory NoSQL Database
5.2 By Deployment Mode
- 5.2.1 Cloud
- 5.2.2 On-Premises
5.3 By Application
- 5.3.1 Data Storage and Caching
- 5.3.2 Real-Time Analytics
- 5.3.3 Mobile and Web Apps
- 5.3.4 IoT and Sensor Data Management
- 5.3.5 AI and ML Workloads
- 5.3.6 Content Management
5.4 By End-User Industry
- 5.4.1 Retail and E-commerce
- 5.4.2 Gaming and Entertainment
- 5.4.3 IT and Telecom
- 5.4.4 BFSI
- 5.4.5 Healthcare and Life Sciences
- 5.4.6 Manufacturing and Supply Chain
- 5.4.7 Government and Public Sector
- 5.4.8 Other Industries
5.5 By Enterprise Size
- 5.5.1 Large Enterprises
- 5.5.2 Small and Medium Enterprises
5.6 By Geography
- 5.6.1 North America
- 5.6.1.1 United States
- 5.6.1.2 Canada
- 5.6.1.3 Mexico
- 5.6.2 South America
- 5.6.2.1 Brazil
- 5.6.2.2 Argentina
- 5.6.2.3 Rest of South America
- 5.6.3 Europe
- 5.6.3.1 United Kingdom
- 5.6.3.2 Germany
- 5.6.3.3 France
- 5.6.3.4 Italy
- 5.6.3.5 Spain
- 5.6.3.6 Nordics
- 5.6.3.7 Rest of Europe
- 5.6.4 Asia-Pacific
- 5.6.4.1 China
- 5.6.4.2 India
- 5.6.4.3 Japan
- 5.6.4.4 South Korea
- 5.6.4.5 ASEAN
- 5.6.4.6 Australia
- 5.6.4.7 New Zealand
- 5.6.4.8 Rest of Asia-Pacific
- 5.6.5 Middle East and Africa
- 5.6.5.1 Middle East
- 5.6.5.1.1 Saudi Arabia
- 5.6.5.1.2 United Arab Emirates
- 5.6.5.1.3 Turkey
- 5.6.5.1.4 Rest of Middle East
- 5.6.5.2 Africa
- 5.6.5.2.1 South Africa
- 5.6.5.2.2 Egypt
- 5.6.5.2.3 Nigeria
- 5.6.5.2.4 Rest of Africa

6. COMPETITIVE LANDSCAPE

6.1 Market Concentration
6.2 Strategic Moves
6.3 Market Share Analysis
6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
- 6.4.1 Amazon Web Services, Inc.
- 6.4.2 Microsoft Corporation
- 6.4.3 Google LLC
- 6.4.4 MongoDB, Inc.
- 6.4.5 Couchbase, Inc.
- 6.4.6 DataStax, Inc.
- 6.4.7 Oracle Corporation
- 6.4.8 IBM Corporation
- 6.4.9 Redis Ltd.
- 6.4.10 ScyllaDB, Inc.
- 6.4.11 Neo4j, Inc.
- 6.4.12 Aerospike, Inc.
- 6.4.13 ArangoDB GmbH
- 6.4.14 TigerGraph, Inc.
- 6.4.15 Alibaba Cloud
- 6.4.16 PingCAP (TiDB)
- 6.4.17 Fauna, Inc.
- 6.4.18 MarkLogic Corporation
- 6.4.19 Cockroach Labs, Inc.
- 6.4.20 Fauna, Inc.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

7.1 White-space and Unmet-need Assessment

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Global NoSQL Market Report Scope

NoSQL, also referred to as “not only SQL” or “non-SQL”, is an approach to database design that enables the storage and querying of data outside the traditional structures found in relational databases. The databases provide a variety of benefits, including flexible data models, horizontal scaling, lightning-fast queries, and ease of use for developer.

The NoSQL market is segmented by type (key-value store, document database, column store, graph database), by end-user (retail, gaming, IT, other end-users), by geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The market sizes and forecasts are provided in terms of value (USD) for all the above segments.

By Database Type	Document Store
	Key-Value Store
	Wide-Column Store
	Graph Database
	Multi-Model Database
	In-Memory NoSQL Database
By Deployment Mode	Cloud
	On-Premises
By Application	Data Storage and Caching
	Real-Time Analytics
	Mobile and Web Apps
	IoT and Sensor Data Management
	AI and ML Workloads
	Content Management
By End-User Industry	Retail and E-commerce
	Gaming and Entertainment
	IT and Telecom
	BFSI
	Healthcare and Life Sciences
	Manufacturing and Supply Chain
	Government and Public Sector
	Other Industries
By Enterprise Size	Large Enterprises
	Small and Medium Enterprises

By Geography	North America	United States
		Canada
		Mexico

	South America	Brazil
		Argentina
		Rest of South America

	Europe	United Kingdom
		Germany
		France
		Italy
		Spain
		Nordics
		Rest of Europe

	Asia-Pacific	China
		India
		Japan
		South Korea
		ASEAN
		Australia
		New Zealand
		Rest of Asia-Pacific

	Middle East and Africa	Middle East	Saudi Arabia
			United Arab Emirates
			Turkey
			Rest of Middle East

		Africa	South Africa
			Egypt
			Nigeria
			Rest of Africa

By Database Type

Document Store

Key-Value Store

Wide-Column Store

Graph Database

Multi-Model Database

In-Memory NoSQL Database

By Deployment Mode

Cloud

On-Premises

By Application

Data Storage and Caching

Real-Time Analytics

Mobile and Web Apps

IoT and Sensor Data Management

AI and ML Workloads

Content Management

By End-User Industry

Retail and E-commerce

Gaming and Entertainment

IT and Telecom

BFSI

Healthcare and Life Sciences

Manufacturing and Supply Chain

Government and Public Sector

Other Industries

By Enterprise Size

Large Enterprises

Small and Medium Enterprises

By Geography

North America	United States
	Canada
	Mexico
South America	Brazil
	Argentina
	Rest of South America
Europe	United Kingdom
	Germany
	France
	Italy
	Spain
	Nordics
	Rest of Europe
Asia-Pacific	China
	India
	Japan
	South Korea
	ASEAN
	Australia
	New Zealand
	Rest of Asia-Pacific

Middle East and Africa	Middle East	Saudi Arabia
		United Arab Emirates
		Turkey
		Rest of Middle East

	Africa	South Africa
		Egypt
		Nigeria
		Rest of Africa

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Key Questions Answered in the Report

What is the current size of the NoSQL market?

The NoSQL market stands at USD 15.04 billion in 2025 and is projected to reach USD 55.51 billion by 2030.

Which database type is growing fastest within the NoSQL market?

Graph databases show the strongest momentum with a projected 29.40% CAGR through 2030.

Why are AI and ML workloads important for NoSQL adoption?

Vector search and embedding support allow NoSQL platforms to serve retrieval-augmented generation and other AI pipelines, driving the segment’s 28.60% CAGR outlook.

How are cloud-cost concerns affecting NoSQL deployments?

Sixty-nine percent of IT leaders are evaluating workload repatriation or hybrid models to trim egress and instance fees, boosting demand for platforms that operate seamlessly across cloud and on-premises environments.

Which region will see the fastest NoSQL market growth?

Asia-Pacific leads with a 27.50% CAGR forecast due to rapid digitalization, expanding cloud infrastructure, and growing data-sovereignty regulations.

What competitive strategies are vendors using to differentiate?

Leading vendors fold vector search, multi-model support, and hybrid-deployment controls into their offerings, while acquisition activity, such as IBM buying DataStax, consolidates capabilities around unified AI-ready data stacks.

Page last updated on: June 23, 2025